Job ID: R0015132
Date Posted: Jan 13, 2023
Segment: Others (Including Headquarters and R&D )
Business Unit: Hitachi Regional Headquarters
Company Name: Hitachi India Pvt, Ltd.
Profession (Job Category): Other
Job Type (Experience Level): Experienced
Job Schedule: Full time
Job Title: Data Scientist / AI-ML Engineer
Grade: Chief Researcher / Research Group Leader
Company: Hitachi India Limited
Salary Range: As per the industry
Hitachi India Pvt. Ltd. (HIL) markets and sells a wide range of products/services ranging from Information & Telecommunications Systems, Digital Solutions & Services, Infrastructure Systems, Industrial Systems like Water, Oil & Gas supply and management to Transportation and Urban Development Systems. Together with further localization, Hitachi aims to contribute to developing a sustainable society in India as well as contributing to the country's economic growth.
Job Roles & Responsibilities:
Research and Develop Innovative Solutions and Quantitative Models for positive impact on Hitachi’s business (e.g., Energy, Industry, Mobility, Smart Life and Financial Services).
Provide R&D support to Hitachi business units and group companies for commercialization of research prototypes. This includes Design, Implementation and Demonstration of Proof-of-Concept (PoC) and Working Proto-types.
Exploration of emerging tools, techniques, and technologies are expected. Collaborate with cross-functional teams, eco-system partners and academia for business benefit.
Generate eminence via patents, publications, thought leadership, invited speakerships and conspicuous presence in forums of repute.
Provide both People and Thought Leadership as needed Mentor fellow researchers and junior staff by appropriate community-building, knowledge-sharing and give-backs.
Add value to self through continuous learning and knowledge acquisition.
Mandatory Requirements :
Academic Qualification: Bachelor’s degree in any discipline with strong quantitative flavor (e.g., STEM background like that in Science, Technology, Engineering and Management).
Strong Fundamentals: The candidate is required to build scientific models from first principles and hence need to have excellent understanding of basics in mathematics and statistics (e.g., differential equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen vectors, Markov models, Fourier analysis).
Understanding of basic principles of business analytics like statistical distributions, regression, segmentation, decision-science algorithms is mandatory.
Understanding of working principles of neural networks and underlying algorithms (e.g., CNN, RNN, LSTM, back-propagation, loss-functions, gradient descent) is a “plus”.
Hands-on Programming: Good programming skills in any one of the following languages is mandatory: C / C++ / Java / Python / MATLAB.
Communication and Collaboration: Ability to articulate key messages concisely and precisely. Excellent Leadership quality. Must have good inter-personal and teaming skills.
Total Relevant Industry Experience: At least 15 years.
Advanced qualifications: Doctorate or Master’s degree from an institute of repute.
Eminence: Patents, publications, thought leadership, invited speakership and conspicuous presence in refereed platforms.
Diversity: Gender Diversity